58 citations · 113 across the 8 of their papers we have counts for
3 papers · 1 filter
Semi-Local Convolutions for LiDAR Scan Processing
Larissa T. Triess, David Peter, J. Marius Zöllner
A number of applications, such as mobile robots or automated vehicles, use LiDAR sensors to obtain detailed information about their three-dimensional surroundings. Many methods use…
Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess, David Peter, Stefan A. Baur +1
Judging the quality of samples synthesized by generative models can be tedious and time consuming, especially for complex data structures, such as point clouds. This paper presents…
A Survey on Deep Domain Adaptation for LiDAR Perception
Larissa T. Triess, Mariella Dreissig, Christoph B. Rist +1
Scalable systems for automated driving have to reliably cope with an open-world setting. This means, the perception systems are exposed to drastic domain shifts, like changes in we…